Track hardware stats across multiple workers with awesome miner

How Awesome Miner Helps Track Hardware Stats Across Multiple Workers

How Awesome Miner Helps Track Hardware Stats Across Multiple Workers

Deploy Awesome Miner to consolidate operational data from every machine in your farm. This platform aggregates real-time sensor readings, from GPU thermal levels to ASIC hash rates, presenting them on a unified dashboard. You gain a complete operational picture, enabling immediate identification of any unit underperforming or nearing critical temperature thresholds.

Configure automated alerts for specific performance deviations, such as a fan speed dropping below 1800 RPM or power consumption spiking beyond its designated limit. The system dispatches instant notifications, allowing for preemptive intervention before a minor fluctuation escalates into costly downtime. This proactive approach directly sustains hash output and preserves component integrity.

Establish a routine for analyzing the compiled data logs to spot long-term trends. Compare the efficiency metrics, like joules per terahash, between different rig configurations over a 30-day period. This analysis pinpoints the most profitable settings, guiding decisions on firmware updates, overclocking adjustments, or hardware replacements to optimize your entire operation’s return on investment.

Configure hardware monitoring for each worker in Awesome Miner

Navigate to the Operations tab and select Manage Computers. This panel lists every connected rig in your operation.

Establish Individual Machine Alerts

Right-click a specific device’s name and choose Properties. Access the Triggers section. Create a new condition by selecting Add. Set a parameter, for instance, GPU Temperature, and define the threshold, such as 80°C. Designate an action like sending an email or executing a script if this limit is breached.

For power consumption oversight, add another trigger monitoring Total Power Draw. Configure an alert to activate if consumption exceeds a value like 1600W for a specific mining unit, preventing circuit overloads.

Customize Performance Dashboards

Create a dedicated view for each machine. From the main interface, add a new Dashboard. Drag and drop the GPU Information and System Summary components into the layout. Use the filter option to associate this dashboard with a single computer, displaying its core clock speeds, memory temperatures, and fan velocities.

This granular approach allows for immediate identification of a malfunctioning cooling system on one unit without sifting through aggregate data from all devices.

Set up centralized alerts for GPU temperature and hashrate drops

Configure notification triggers directly within the application’s alert management system. Set a critical threshold for graphics card thermals, such as 80°C, and a minimum accepted processing speed, for instance, a 15% decrease from the rig’s 24-hour average.

Configuring Notification Rules

Access the ‘Notifications’ tab and create a new rule. Select the condition ‘GPU Temperature Exceeds’ and input your defined value, like 80. Create a separate rule for ‘Hashrate Per Device Drops Below’ and specify the calculated threshold. Assign this rule to all managed machines in your operation.

The software’s centralized dashboard, detailed at https://getpc.top/programs/awesome-miner/, aggregates information from every connected rig. This allows a single alert profile to monitor all your graphics processing units simultaneously.

Choosing Alert Methods

Enable email, SMS, or platform-specific integrations like Slack for immediate warnings. Test the system by manually tripping a condition on a single device to confirm the notification chain functions correctly before relying on it during a live issue.

This setup provides a unified view of your entire mining operation’s health, enabling rapid response to cooling failures or performance degradation on any connected system.

FAQ:

How do I add a worker in Awesome Miner to start tracking its hardware?

To add a worker, open the main Awesome Miner window. Locate and click the ‘Add’ button, often found in the toolbar or within the ‘File’ menu. A dialog box will appear. Here, you have two main options. For most setups, select ‘Add single computer’. You will then need to enter the worker’s IP address or hostname. If the worker requires specific login credentials, make sure to provide the correct username and password. After filling in the details, click ‘OK’. The application will then attempt to connect to the worker. Once successful, the worker will appear in your list, and its hardware statistics will begin to be collected and displayed.

Which hardware statistics can I actually see for each of my mining rigs?

Awesome Miner provides a detailed view of your hardware’s condition. For the GPU, which is critical for mining, you can monitor core temperature, fan speed as a percentage, current power draw in watts, and its utilization level. For the system as a whole, you can track CPU usage and temperature. The application also displays real-time information from the mining software itself, such as the current hash rate for each algorithm and any error messages from the miner. This data is typically shown in the main grid view, and you can often right-click on a worker to open a more detailed information window with additional metrics and charts.

My worker is showing as ‘Offline’. What are the first things I should check?

An ‘Offline’ status usually points to a connection problem. First, verify that the physical machine is powered on and that its operating system is running. Next, check the network connection. Can you ping the worker’s IP address from the computer running Awesome Miner? If the ping fails, the issue is network-related. Ensure both machines are on the same local network and that no firewalls are blocking the connection. The Windows Firewall on the worker machine can often block Awesome Miner’s requests. Finally, double-check the IP address or hostname you used to add the worker in Awesome Miner. Dynamic IP addresses can change, so using a static IP or a reliable hostname is recommended.

Is it possible to set up alerts for high GPU temperature across all my workers at once?

Yes, you can configure a single alert rule that applies to every worker. This is done through the ‘Options’ menu, where you will find the ‘Alert Rules’ section. Create a new rule and set the condition to monitor the ‘GPU Temperature’ sensor. You can set the trigger, for example, to activate when the temperature is above a specific value like 80°C for any worker. Then, define the action you want the system to take. Options include playing a sound on your management PC, sending an email notification, or even executing a command to shut down the affected miner. Once you save this rule, it will automatically monitor all current and future workers you add to your setup.

What is the difference between the main view and the ‘Details’ window for a worker?

The main view gives you a fast, high-level summary. It’s a table showing all your workers with key columns like status, miner, hash rate, and primary GPU temperature. This is ideal for a quick health check. The ‘Details’ window, which you open by double-clicking a worker, provides a much deeper look. It contains multiple tabs with specific information: one tab for all system sensors (CPU/GPU temps, fan speeds, power), another for the mining software output and its current performance, and others for properties and any triggered alerts. You use the main view to spot a problem, and the ‘Details’ window to diagnose the exact cause of that problem.

Reviews

Isabella

My rigs hum along nicely now. I finally have a clear view of each worker’s health and output in one place. No more guessing games or hopping between screens. Seeing those real-time stats side-by-side lets me spot a struggling card before it becomes a real problem. It’s the kind of quiet control that turns constant worry into steady progress. This clarity is exactly what my operation needed.

StarlightVixen

My quiet setup monitors all rigs from one spot. No noise, no clutter—just clean numbers flowing in. Perfect for when you’d rather watch stats than talk to people. Pure calm.

AquaMystique

My kitchen runs on a rhythm, a quiet hum of appliances each with its own task. I understand monitoring. A slow oven ruins a cake, just as an overheated graphics card might disrupt your calculations. Watching the health of your machines isn’t about control, but about stewardship. It’s the quiet satisfaction of knowing each component is cared for, that the whole system can work in concert. This careful observation is a form of respect for the tools we use, whether for baking bread or for complex data work. It’s a practical mindfulness, a way to prevent small issues from becoming a complete halt. There is a real peace in that kind of oversight.

Olivia Garcia

Ladies, let’s be honest: my rigs have more mood swings than I do. How do you keep your cool when one worker suddenly decides to mine at a snail’s pace while the others are blazing along? Any clever tricks for spotting that one troublemaker before it throws a real tantrum?

LunaShadow

Oh honey, my computer used to throw a fit if I opened more than two browser tabs. Trying to watch my little mining rigs was like herding cats—a complete mess! I’d have one screen for this, another for that, and my desk looked like a spy movie from the 90s. Total chaos. Then I found this setup. Now, it’s all just… there. On one screen. I can see who’s slacking off, who’s getting too hot under the collar, and who’s the real star of the show. It’s like having a superpower. I finally feel like I’m the one in charge, not the machines. It just makes the whole thing feel less like work and more like my favorite little digital garden. Who knew staring at numbers could be so satisfying?

Benjamin Carter

My rig’s pulse, a quiet hum across scattered machines. This view finds the rhythm in their labor, a single pane reflecting every strain and triumph. No guesswork, just the raw numbers. Pure clarity.

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